continuous-agent-loop

Autonomous agent loops are orchestrated by applying structured loop selection with integrated quality gates, evaluation hooks, and explicit recovery pathways to prevent task escalation. This handles iterative exploration and safe failure handling across multiple components.

Preventing agent churn in continuous workflows requires implementing explicit guardrails and recovery controls within the loop orchestration. This ensures safe failure handling and stops repetitive cycles during iterative task refinement.

Yes, continuous loops support structured orchestration across RFC pipelines, code quality checks, and eval harnesses. The loop selection mechanism integrates modular components for iterative refinement and testing.

You add recovery controls to autonomous agent workflows by defining explicit recovery pathways and error handling steps within the loop orchestration. This prevents escalation and manages safe failures during long-running tasks.

Continuous loop orchestration requires explicit guardrails to function safely; without defined recovery pathways and quality gates, long-running iterative tasks risk churn and uncontrolled escalation across components.